Some factors that predetermine the opinion about the impact of mobile technologies on learning
DOI:
https://doi.org/10.33910/2687-0223-2023-5-3-173-182Keywords:
mobile learning, m-learning, MALL, mobile application, motivation, theories of motivation, motivation factors, 2B-PLSAbstract
Mobile learning is gaining more and more popularity in modern methods of foreign language teaching. Mobile learning tends to integrate itself into the traditional learning process, provided that the basic methodological principles are preserved. One of the forms of mobile learning is the implementation of language mobile applications. The use of mobile applications in foreign language lessons has several advantages, and one of the most important is to increase the students’ motivation to learn foreign languages both in the classroom and outside the educational institution. The article provides information about mobile learning, mobile applications, their benefits as well as the experience of working with mobile applications in English lessons for middle school students. We give an overview of the main theories of motivation as well as the 12 factors of motivation. The article presents the results of a study conducted on students enrolled in master’s programs and not specializing in education. The study was based on a survey among students on 12 motivation factors. After completing the survey, it was necessary to answer the question, “Will the use of mobile technologies / mobile applications in the classroom increase the schoolchildren’s motivation to learn English or not?” It was found that, when the survey participants answer the question about the potential effect which the use of mobile technologies in the classroom can have on the motivation to study of people unknown to them, they choose the answer that is closest to their own motivational preferences.
References
ИСТОЧНИКИ
Указ Президента Российской Федерации от 7 мая 2018 г. № 204 «О национальных целях и стратегических задачах развития Российской Федерации на период до 2024 года». [Электронный ресурс]. URL: http://publication.pravo.gov.ru/Document/View/0001201805070038 (дата обращения 09.01.2023).
ЛИТЕРАТУРА
Алмаев, Н. А., Мурашева, О. В., Бессонова, Ю. В., Киселева, Н. И. (2016) Обобщенные шкалы контент-анализа проективных рассказов теста социальной мотивации (ТСМ). Описание и критериальная валидность. Часть 1. Экспериментальная психология, т. 9, № 4, с. 90–104. https://doi.org/10.17759/exppsy.2016090409
Бессмертная, В. В., Казбан, Е. В. (2022) Основные аспекты теории мотивации Фредерика Герцберга. Вестник Луганского государственного университета имени Владимира Даля, № 10 (64), с. 29–30.
Исмагулова, Г. Н. (2013) Анализ теории и практики мотивации. В кн.: А. А. Горохов (ред.). Современные подходы к трансформации концепций государственного регулирования и управления в социально- экономических системах: материалы 2-й Международной научно-практической конференции: в 2-х т. Т. 1. Курск: Университетская книга, с. 180–183.
Лук, Т. Н., Стародубцева, А. С. (2021) Иерархия потребностей Маслоу и ее применение в управлении человеческими ресурсами. В кн.: А. А. Горохов (ред.). Цифровая экономика: проблемы и перспективы развития. Сборник научных статей 3-й Межрегиональной научно-практической конференции. Курск: Изд-во ЮЗГУ, с. 252–256.
Митрофанова, И. В., Корсакова, И. В., Пономарева, А. С., Калиничева, И. Д. (2019) Мотивация и стимулирование труда: эволюция концептуально-методологических подходов. Экономика: вчера, сегодня, завтра, т. 9, № 1A, с. 436–451.
Порядина, В. Л., Лихачева, Т. Г., Борисова, А. А. (2022) Процессуальные теории мотивации. Цифровая и отраслевая экономика, № 2 (27), с. 15–21.
Ричи, Ш., Мартин, П. (2004) Управление мотивацией. М.: ЮНИТИ-ДАНА, 399 с.
Aisner, L. Yu., Naumov, O. D. (2022) Professional development of a teacher in the context of digitalization of education. In: Formirovanie professional’nykh kompetentnostej obuchayushchikhsya: Materialy Regional’noj (mezhvuzovskoj) nauchno-prakticheskoj konferentsii. Krasnoyarsk: KSAU Publ., pp. 101–105.
Kapsargina, S. A. (2021) Actual question of using mobile apps in teaching English language. In: V. L. Bopp, Zh. N. Shmaleva (eds.). Problemy sovremennoj agrarnoj nauki. Krasnoyarsk: KSAU Publ., pp. 477–480.
Kovaleva, V. Yu., Pozdnyakov, A. A., Litvinov, Yu. N., Efimov, V. M. (2019) Estimation of the congruence between morphogenetic and molecular-genetic modules of gray voles Microtus S.L. variability along a climatic gradient. Ecological Genetics, vol. 17, no. 2, pp. 21–34. https://doi.org/10.17816/ecogen17221-34
Krivoshchekov, S. G., Nikolaeva, E. I., Vergunov, E. G., Prihodko, A. Yu. (2022) Multivariate analysis of indicators of inhibitory and autonomic control in orthostasis and emotional situations. Human Physiology, vol. 48, no. 1, pp. 20–29. https://doi.org/10.1134/S0362119721060050
Nikolaeva, E. I., Efimova, V. L., Vergunov, E. G. (2022) Integration of vestibular and auditory information in ontogenesis. Children, vol. 9, no. 3, article 401. https://doi.org/10.3390/children9030401
Omarova, S. K. (2021) Foreign language mobile learning design. Herald of Science of S. Seifullin Kazakh Agro Technical University, no. 2 (109), pp. 98–103. https://doi.org/10.51452/kazatu.2021.2(109).597
Polunin, D., Shtaiger, I., Efimov, V. (2019) JACOBI4 software for multivariate analysis of biological data. bioRxiv, 21 November. [Online]. Available at: https://doi.org/10.1101/803684 (accessed 19.08.2023).
Rännar, S., Lindgren, F., Geladi, P., Wold, S. (1994) A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: Theory and algorithm. Journal of Chemometrics, vol. 8, no. 2, pp. 111–125. https://doi.org/10.1002/cem.1180080204
Rohlf, F. J., Corti, M. (2000) Use of two-block partial least-squares to study covariation in shape. Systematic Biology, vol. 49, no. 4, pp. 740–753. https://doi.org/10.1080/106351500750049806
Savostyanov, A. N., Vergunov, E. G., Saprygin, A. E., Lebedkin, D. A. (2022) Validation of a face image assessment technology to study the dynamics of human functional states in the EEG resting-state paradigm. Vavilov Journal of Genetics and Breeding, vol. 26, no. 8, pp. 765–772. https://doi.org/10.18699/VJGB-22-92
Tarasova, M. V., Kotova, A. A. (2022) Prospects for the development of digitalization of education in Russia. Vestnik Tul’skogo filiala Finuniversiteta, no. 1, pp. 407–409.
Vergunov, E. G. (2022) Coping space transformation at different levels of university training during the pandemic and the assessment of its integral indicators. Kompleksnye issledovaniya detstva — Comprehensive Child Studies, vol. 4, no. 2, pp. 115–123. https://doi.org/10.33910/2687-0223-2022-4-2-115-123
SOURCES
Ukaz Presidenta Rossijskoj Federatsii ot 7 maya 2018 g. № 204 “O natsional’nykh tselyakh i strategicheskikh zadachakh razvitiya Rossijskoj Federatsii na period do 2024 goda” [Decree of the Government of the Russian Federation dated May 7, 2018 No. 204 “On national goals and strategic objectives of the development of the Russian Federation for the period until 2024”]. [Online]. Available at: http://publication.pravo.gov.ru/Document/View/0001201805070038 (accessed 09.01.2023). (In Russian)
REFERENCES
Aisner, L. Yu., Naumov, O. D. (2022) Professional development of a teacher in the context of digitalization of education. In: Formirovanie professional’nykh kompetentnostej obuchayushchikhsya: Materialy Regional’noj (mezhvuzovskoj) nauchno-prakticheskoj konferentsii [Formation of professional competencies of students: Proceedings of the Regional (Interuniversity) scientific and practical conference]. Krasnoyarsk: KSAU Publ., pp. 101–105. (In English)
Almayev, N. A., Murasheva, O. V., Bessonova, Yu. V., Kiselyova, N. I. (2016) Obobshchennye shkaly kontent-analiza proektivnykh rasskazov testa sotsial’noj motivatsii (TSM). Opisanie i kriterial’naya validnost’. Chast’ 1 [Generalized scales of content analysis of projective narratives in test of social motivation (TSM). Their validity and specifics. Part 1]. Eksperimental’naya psikhologiya — Experimental Psychology, vol. 9, no. 4, pp. 90–104. https://doi.org/10.17759/exppsy.2016090409 (In Russian)
Bessmertnaya, V. V., Kazban, E. V. (2022) Osnovnye aspekty teorii motivatsii Frederika Gertsberga [Main aspects of Frederik Herzberg’s theory of motivation]. Vestnik Luganskogo gosudarstvennogo universiteta imeni Vladimira Dalya — Vestnik Lugansk Vladimir Dahl State University, no. 10 (64), pp. 29–30. (In Russian)
Ismagulova, G. N. (2013) Analiz teorii i praktiki motivatsii [Analysis of the theory and practice of motivation]. In: A. A. Gorokhov (ed.). Sovremennye podkhody k transformatsii kontseptsij gosudarstvennogo regulirovaniya i upravleniya v sotsial’no-ekonomicheskikh sistemakh: materialy 2-j Mezhdunarodnoj nauchno-prakticheskoj konferentsii: v 2-kh t. T. 1 [Modern approaches to the transformation of the concepts of state regulation and management in socio-economic systems: Materials of the 2nd International Scientific and Practical Conference: In 2 vols. Vol. 1]. Kursk: Universitetskaya kniga Publ., pp. 180–183. (In Russian)
Kapsargina, S. A. (2021) Actual question of using mobile apps in teaching English language. In: V. L. Bopp, Zh. N. Shmaleva (eds.). Problemy sovremennoj agrarnoj nauki [Problems of modern agricultural science]. Krasnoyarsk: KSAU Publ., pp. 477–480. (In English)
Kovaleva, V. Yu., Pozdnyakov, A. A., Litvinov, Yu. N., Efimov, V. M. (2019) Estimation of the congruence between morphogenetic and molecular-genetic modules of gray voles Microtus S.L. variability along a climatic gradient. Ecological Genetics, vol. 17, no. 2, pp. 21–34. https://doi.org/10.17816/ecogen17221-34 (In English)
Krivoshchekov, S. G., Nikolaeva, E. I., Vergunov, E. G., Prihodko, A. Yu. (2022) Multivariate analysis of indicators of inhibitory and autonomic control in orthostasis and emotional situations. Human Physiology, vol. 48, no. 1, pp. 20–29. https://doi.org/10.1134/S0362119721060050 (In English)
Luk, T. N., Starodubtseva, A. S. (2021) Ierarkhiya potrebnostej Maslou i ee primenenie v upravlenii chelovecheskimi resursami [Maslow’s hierarchy of needs and its application to human resource management]. In: A. A. Gorokhov (ed.). Tsifrovaya ekonomika: problemy i perspektivy razvitiya. Sbornik nauchnykh statej 3-j Mezhregional’noj nauchno-prakticheskoj konferentsii [Digital economy: Problems and development prospects. Collection of scientific articles of the 3rd Interregional scientific and practical conference]. Kursk: The Southwest State University Publ., pp. 252–256. (In Russian)
Mitrofanova, I. V., Korsakova, I. V., Ponomareva, A. S., Kalinicheva, I. D. (2019) Motivatsiya i stimulirovanie truda: evolyutsiya kontseptual’no-metodologicheskikh podkhodov [Motivation and stimulation of labor: The evolution of conceptual and methodological approaches]. Ekonomika: vchera, segodnya, zavtra — Economics: Yesterday, Today and Tomorrow, vol. 9, no. 1A, pp. 436–451. (In Russian)
Nikolaeva, E. I., Efimova, V. L., Vergunov, E. G. (2022) Integration of vestibular and auditory information in ontogenesis. Children, vol. 9, no. 3, article 401. https://doi.org/10.3390/children9030401 (In English)
Omarova, S. K. (2021) Foreign language mobile learning design. Herald of Science of S. Seifullin Kazakh Agro Technical University, no. 2 (109), pp. 98–103. https://doi.org/10.51452/kazatu.2021.2(109).597 (In English)
Polunin, D., Shtaiger, I., Efimov, V. (2019) JACOBI4 software for multivariate analysis of biological data. bioRxiv, 21 November. [Online]. Available at: https://doi.org/10.1101/803684 (accessed 19.08.2023). (In English)
Poryadina, V. L., Likhacheva, T. G., Borisova, A. A. (2022) Protsessual’nye teorii motivatsii [Billing and grading as ways of differentiation of remuneration]. Tsifrovaya i otraslevaya ekonomika, no. 2 (27), pp. 15–21. (In Russian)
Rännar, S., Lindgren, F., Geladi, P., Wold, S. (1994) A PLS kernel algorithm for data sets with many variables and fewer objects. Part 1: Theory and algorithm. Journal of Chemometrics, vol. 8, no. 2, pp. 111–125. https://doi.org/10.1002/cem.1180080204 (In English)
Ritchie, Sh., Martin, P. (2004) Upravlenie motivatsiej [Motivational management]. Moscow: UNITI-DANA Publ., 399 p. (In Russian)
Rohlf, F. J., Corti, M. (2000) Use of two-block partial least-squares to study covariation in shape. Systematic Biology, vol. 49, no. 4, pp. 740–753. https://doi.org/10.1080/106351500750049806 (In English)
Savostyanov, A. N., Vergunov, E. G., Saprygin, A. E., Lebedkin, D. A. (2022) Validation of a face image assessment technology to study the dynamics of human functional states in the EEG resting-state paradigm. Vavilov Journal of Genetics and Breeding, vol. 26, no. 8, pp. 765–772. https://doi.org/10.18699/VJGB-22-92 (In English)
Tarasova, M. V., Kotova, A. A. (2022) Prospects for the development of digitalization of education in Russia. Vestnik Tul’skogo filiala Finuniversiteta, no. 1, pp. 407–409. (In English)
Vergunov, E. G. (2022) Coping space transformation at different levels of university training during the pandemic and the assessment of its integral indicators. Kompleksnye issledovaniya detstva — Comprehensive Child Studies, vol. 4, no. 2, pp. 115–123. https://doi.org/10.33910/2687-0223-2022-4-2-115-123 (In English)
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